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Merge pull request #91 from pymc-labs/add-more-badges
add more badges to README
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README.md

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[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
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[![PyPI version](https://badge.fury.io/py/CausalPy.svg)](https://badge.fury.io/py/CausalPy)
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![GitHub Repo stars](https://img.shields.io/github/stars/pymc-labs/causalpy?style=social)
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![Read the Docs](https://img.shields.io/readthedocs/causalpy)
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![PyPI - Downloads](https://img.shields.io/pypi/dm/causalpy)
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A Python package focussing on causal inference in quasi-experimental settings. The package allows for sophisticated Bayesian model fitting methods to be used in addition to traditional OLS.
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